DNA Microarrays (eBook, ePUB)

Redaktion: Nuber, Ulrike

• Format: ePub

Produktbeschreibung

DNA Microarrays introduces all up-to-date microarray platforms and their various applications. It is written for scientists who are entering the field of DNA microarrays as well as those already familiar with the technology, but interested in new applications and methods.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 299
• Erscheinungstermin: 24. Januar 2007
• Englisch
• ISBN-13: 9781134243983
• Artikelnr.: 38245143

Autorenporträt

Ulrike Nuber-Max Planck Institute of Molecular Genetics, Berlin, Germany

Inhaltsangabe

1. Introduction: DNA Microarrays - Ten Years Old, But No Old Hat 2. cDNA
Microarray Analysis and Its Role in Toxicology - A Case Study 3. Gene
Expression Profiling in Plants Using cDNA Microarrays 4. Identification of
Gene Expression Patterns for a Molecular Diagnosis of Kidney Tumors 5. Gene
Expression Analysis of Differentiating Neural Progenitor Cells - A Time
Course Study 6. A Microarray-Based Screening Method for Known and Novel
SNPs 7. From Gene Chips to Disease Chips - New Approach in Molecular
Diagnosis of Eye Diseases 8. Multiplexed SNP Genotyping Using an
Allele-Specific Primer Extension 9. Profiling the Arabidopsis
Transcriptome 10. Affymetrix GeneChip Analyses - The Impact of RNA Quality
11. Molecular Karyotyping by Means of Array CGH: Linking Gene Dosage
Alterations to Disease Phenotypes 12. DNA Microarrays: Analysis of
Chromosomes and Their Aberrations 13. Mapping Transcription Factor Binding
Sites Using ChIP Chip - General Considerations 14. ChIP-on-Chip: Searching
for Novel Transcription Factor Targets 15. Turning Photons into Results:
Principles of Fluorescent Microarray Scanning 16. Microarray Detection with
Laser Scanning Device 17. Normalization Strategies for Microarray Data
Analysis 18. Microarray Data Analysis: Differential Gene Expression 19.
Clustering and Classification Methods for Gene Expression Data Analysis 20.
Statistical Analysis of Microarray Time Course Data 21. Array CGH Data
Analysis 22. MIAME